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Nemo Curator

Checked
davila7·vlatest·productivity·MIT

Nemo Curator organizes your notes & documents into a structured knowledge base, boosting productivity and recall by intelligently grouping related information.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill nemo-curator -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/data-processing-nemo-curator/SKILL.md
Scanned
3 files, 527 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

Nemo Curator is an NVIDIA toolkit designed for preparing high-quality training data for Large Language Models (LLMs). It provides GPU-accelerated capabilities for organizing notes and documents, including deduplication, filtering low-quality or toxic content, and handling multi-modal datasets (text, images, video, audio). This skill significantly speeds up the data curation process compared to CPU-based alternatives.

When to use it

  • Preparing LLM training data from web scrapes like Common Crawl.
  • Performing fast deduplication of large datasets.
  • Curating datasets containing various media types (text, images, video, audio).
  • Filtering out low-quality or toxic content within a dataset.
  • Scaling data processing across a GPU cluster for increased efficiency.

Key capabilities

  • GPU-Accelerated Deduplication: Offers 16x faster fuzzy deduplication compared to CPU alternatives.
  • Multi-Modal Data Handling: Supports curation of datasets containing text, images, video, and audio.
  • Quality Filtering: Includes over 30 heuristic filters (e.g., word count, repeated lines, URL ratio) for identifying and removing low-quality data.
  • Scalability: Designed to scale efficiently across GPU nodes.

Example prompts

While this skill is primarily a tool for data preparation rather than direct interaction, an agent might use it by requesting:

  1. "Run Nemo Curator to deduplicate the dataset from Common Crawl."
  2. "Filter the image and text dataset using Nemo Curator's quality filters."
  3. "Process the video dataset with Nemo Curator, removing any content flagged as toxic."

Tips & gotchas

  • CUDA Requirement: Requires NVIDIA CUDA for optimal performance; CPU-only mode is available but significantly slower.
  • Installation Complexity: Installation involves using uv pip install and specifying desired features (e.g., nemo-curator[text_cuda12]).
  • Not a General Data Processing Tool: Consider alternatives like Ray Data if your needs extend beyond data curation for LLM training.